Title |
A Factor Graph Nested Effects Model To Identify Networks from Genetic Perturbations
|
---|---|
Published in |
PLoS Computational Biology, January 2009
|
DOI | 10.1371/journal.pcbi.1000274 |
Pubmed ID | |
Authors |
Charles J. Vaske, Carrie House, Truong Luu, Bryan Frank, Chen-Hsiang Yeang, Norman H. Lee, Joshua M. Stuart |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 20% |
Zimbabwe | 1 | 10% |
Kenya | 1 | 10% |
United Kingdom | 1 | 10% |
Russia | 1 | 10% |
France | 1 | 10% |
Unknown | 3 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 60% |
Scientists | 3 | 30% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 5% |
Germany | 2 | 3% |
United Kingdom | 2 | 3% |
Australia | 1 | 1% |
Slovenia | 1 | 1% |
Canada | 1 | 1% |
Unknown | 68 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 29 | 37% |
Researcher | 19 | 24% |
Professor > Associate Professor | 7 | 9% |
Student > Master | 7 | 9% |
Other | 3 | 4% |
Other | 9 | 11% |
Unknown | 5 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 33 | 42% |
Computer Science | 21 | 27% |
Biochemistry, Genetics and Molecular Biology | 6 | 8% |
Engineering | 4 | 5% |
Mathematics | 3 | 4% |
Other | 5 | 6% |
Unknown | 7 | 9% |